no code implementations • 25 Oct 2023 • Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi
We first propose a theorem to show that the invariant posterior of parameters can be implicitly inferred by aggregating posteriors on different training domains.
no code implementations • 19 Oct 2023 • Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi
Bayesian Neural Networks (BNNs) have become one of the promising approaches for uncertainty estimation due to the solid theorical foundations.
no code implementations • ICCV 2023 • Kai Yang, Hong Shang, Tianyang Shi, Xinghan Chen, Jingkai Zhou, Zhongqian Sun, Wei Yang
The research fields of parametric face model and 3D face reconstruction have been extensively studied.
Ranked #1 on Face Alignment on FaceScape
no code implementations • 24 Mar 2021 • Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward
Unlike previous CNN-based methods using a separate design, we unify the feature extraction and view fusion in a single Transformer network.
Ranked #7 on 3D Reconstruction on ShapeNet
1 code implementation • 1 Mar 2021 • Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, Yi Yuan
Motion completion is a challenging and long-discussed problem, which is of great significance in film and game applications.
Ranked #2 on Motion Synthesis on LaFAN1
no code implementations • ICCV 2021 • Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward
Unlike previous CNN-based methods using a separate design, we unify the feature extraction and view fusion in a single Transformer network.
1 code implementation • 31 Dec 2020 • Zhengxia Zou, Tianyang Shi, Yi Yuan, Zhenwei Shi
This paper studies an interesting question that whether a deep CNN can be trained to recover the depth behind an autostereogram and understand its content.
4 code implementations • CVPR 2021 • Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi
Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction, we deal with such an artistic creation process in a vectorized environment and produce a sequence of physically meaningful stroke parameters that can be further used for rendering.
no code implementations • 27 Sep 2020 • Yinglin Duan, Tianyang Shi, Zhengxia Zou, Jia Qin, Yifei Zhao, Yi Yuan, Jie Hou, Xiang Wen, Changjie Fan
Previous works of this topic consider music-to-dance as a supervised motion generation problem based on time-series data.
no code implementations • 20 Aug 2020 • Xinhui Song, Tianyang Shi, Zunlei Feng, Mingli Song, Jackie Lin, Chuan-Jie Lin, Changjie Fan, Yi Yuan
Facial action unit (AU) intensity is an index to describe all visually discernible facial movements.
no code implementations • 17 Aug 2020 • Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan
With the rapid development of Role-Playing Games (RPGs), players are now allowed to edit the facial appearance of their in-game characters with their preferences rather than using default templates.
1 code implementation • 17 Aug 2020 • Tianyang Shi, Zhengxia Zou, Xinhui Song, Zheng Song, Changjian Gu, Changjie Fan, Yi Yuan
Besides, the neural network based renderer used in previous methods is also difficult to be extended to multi-view rendering cases.
no code implementations • 13 Apr 2020 • Xinhui Song, Tianyang Shi, Tianjia Shao, Yi Yuan, Zunlei Feng, Changjie Fan
The generator learns to "render" a face image from a set of facial parameters in a differentiable way, and the feature extractor extracts deep features for measuring the similarity of the rendered image and input real image.
no code implementations • ICCV 2019 • Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong liu
Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game characters with their own preferences rather than using default templates.